Daniel Jee Seng Goh
Papers
1
Total Citations
2
H-Index
1
About
Daniel Jee Seng Goh is a rising researcher at the forefront of soft robotics and advanced manufacturing, with a focus on creating intelligent, adaptive robotic systems through multimaterial 3D printing. His major contribution lies in the design optimization of variable stiffness robotic grippers that integrate passive restoration capabilities—a breakthrough that balances the critical trade-off between compliance and structural rigidity. By leveraging additive manufacturing techniques, Goh has demonstrated how embedded functionality can replace complex control systems, enabling grippers to adapt to objects of varying shapes and weights without active sensing. His most-cited work, "Design Optimization of a Variable Stiffness Robotic Gripper with Passive Restoration Fabricated by Multimaterial 3D Printing" (2025), has already garnered attention in the soft robotics community, reflecting the timeliness and practical impact of his research. Goh’s work is particularly notable for bridging materials science and robotic design, offering a scalable path toward more dexterous, energy-efficient, and cost-effective end-effectors. As the field moves toward autonomous manipulation in unstructured environments, his contributions are poised to influence next-generation manufacturing, prosthetics, and human-robot interaction.
Research Focus
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Top Papers
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